Sequential pattern mining on electronic medical records with handling time intervals and the efficacy of medicines
Sequential pattern mining on electronic medical records with handling time intervals and the efficacy of medicines
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DOI：
10.1109/iscc.2016.7543708
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发表时间：
2016-06
期刊：
影响因子：
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通讯作者：
Keishiro Uragaki;T. Hosaka;Yoshitaka Arahori;M. Kushima;Tomoyoshi Yamazaki;K. Araki;H. Yokota
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文献类型：
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作者：
Keishiro Uragaki;T. Hosaka;Yoshitaka Arahori;M. Kushima;Tomoyoshi Yamazaki;K. Araki;H. Yokota
使用电子病历来改进医学研究很有用。医务人员通常根据经验制定临床路径，作为每种疾病治疗的典型流程的指南。在这项研究中，我们提出了一种验证现有临床路径的方法，并通过分析历史记录推荐变体或新路径。我们提出了一种基于顺序模式挖掘应用的方法来记录日志以及处理之间的处理时间间隔。我们还关注药物的功效而不是名称，因为各种药物具有相同的功效，并且它们是动态变化的。我们使用实际日志评估了所提出的方法，结果表明所提出的方法是有效的。
It is useful to employ electronic medical records to improve medical studies. Based on their experience, medical workers conventionally prepare clinical pathways as guidelines for the typical flow for the medical treatment of each disease. In this study, we propose an approach for verifying existing clinical pathways and recommend variants or new pathways by analyzing historical records. We propose a method based on the application of sequential pattern mining to record logs with handling time intervals between treatments. We also focus on the efficacy of medicines instead of their names because various medicines have the same efficacy and they change dynamically. We evaluated the proposed method using actual logs and the results demonstrated that the proposed method is effective.